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AI Model Pricing

Use the table below as the technical reference layer for how different model families map to credit consumption.
ModelFamilyBase inputOutputCache writeCache read
Claude 4.5Haiku1 credit5 credits1.25 credits0.10 credit
Claude 4.6Sonnet3 credits15 credits3.75 credits0.30 credit
Claude 4.5Sonnet3 credits15 credits3.75 credits0.30 credit
Claude 4.7Opus5 credits25 credits6.25 credits0.50 credit
Claude 4.6Opus5 credits25 credits6.25 credits0.50 credit
Claude 4.5Opus5 credits25 credits6.25 credits0.50 credit
These model-family rates are useful when technical teams want to reason more precisely about cost shape across lightweight generation, balanced day-to-day execution, and premium reasoning workflows.

Infrastructure Billing

AI is not the same as hosting. Revolte also exposes managed infrastructure and delivery operations, and these can contribute separately to total cost. Public cloud pricing shown on pricing material is an estimate using the highest-cost region, and actual cloud costs vary by configured deployment region.

Web App

Frontend hosting with global edge delivery, including custom domain management and automatic SSL/TLS.
  • Data transfer billed
  • Core hosting shown as free of cost

Web Service

Serverless deployment for APIs, microservices, and compute workloads.
  • ALB: $0.042 / hr
  • Storage: $0.08 / GB-month
  • Registry: $0.10 / GB-month

Database

Managed data services with scalable storage and backup pricing.
  • Storage: $0.115 / GB-month
  • Backup: $0.095 / GB-month

Secrets and Storage

Secrets, object storage, cache, metrics, network, and supporting platform primitives.
  • Secrets: $0.40 / secret-month
  • Object storage: $0.023 / GB-month
CategoryMetricApprox costWhat it means
LogsIngestion$0.50 / GBNew logs written into the platform
LogsStorage$0.03 / GB-monthRetaining log data over time
LogsInsights queries$0.005 / GB scannedInteractive analysis over retained logs
PipelineLinux medium build minutes$0.01 / minBuild and pipeline execution time
MetricsCustom metrics$0.30 / metric-monthCustom observability signals retained monthly
MetricsAlarms$0.10 / alarm-monthConfigured operational alert objects
Object storageStandard storage$0.023 / GB-monthStored files and assets
Object storageGET requests$0.0004 / 1K requestsRead access to stored objects
Object storagePUT / COPY / POST / LIST$0.005 / 1K requestsWrite and listing activity
NetworkInternet egress$0.09 / GB first 10TBOutbound traffic served to users or systems
NetworkDNS$0.50 / hosted zone-monthManaged DNS zone cost
Secret storeStorage$0.40 / secret-monthStored secrets under management
Secret storeAPI calls$0.05 / 10K requestsProgrammatic secret retrieval or management calls
CacheStorage$0.085 / GB-monthIn-memory cache capacity
A team can have low AI usage but meaningful infrastructure spend, or high AI usage with relatively low cloud runtime. These are independent levers and should be reviewed separately.

Cost Estimation

The safest way to estimate Revolte cost is to break it into layers rather than chase one all-in number. Start with the plan, then calculate likely overages, then add infrastructure only for the services you actually run.

Step 1 — Pick the right plan

Choose based on service count, environments, CI/CD run volume, and whether you need BYOC or enterprise controls.

Step 2 — Estimate delivery overages

Measure likely token usage, CI/CD runs above plan limits, and log growth above the included monthly quota.

Step 3 — Add runtime infrastructure

Include only the services you deploy: web services, databases, object storage, cache, secrets, metrics, and network egress. Total monthly estimate ≈ base plan + AI overage + CI/CD overage + log overage + cloud runtime services
Team patternBest starting planPrimary cost driversWhat to watch first
Solo builder validating the platformFreeAI prompts, a few CI runs, light logsWhether experimentation stays inside 5 credits, 500 runs, and 5 GB logs
Small startup with a few active servicesProCI/CD volume, preview environments, web services, logsRun frequency, preview sprawl, and whether AI-heavy workflows are repeated too broadly
Growing multi-service teamPro or EnterpriseService count, logs, object storage, database growth, support expectationsWhen service count, compliance, or control needs exceed standard Pro boundaries
Regulated or platform-scale organizationEnterpriseCustom caps, SLA, BYOC, compliance modules, large runtime footprintPrivate cloud, on-prem, audit support, SSO/RBAC, and modular product packaging

Example overage math

If a team exceeds its included log quota by 20 GB in a month, the listed PAYG log ingestion rate implies: 20 GB × $0.50 = $10.00 This is separate from any retained log storage or log query scanning cost.

Another simple calculation

If a team exceeds its CI allowance by 1,000 runs, the listed PAYG CI run rate implies: 1,000 runs × $0.01 = $10.00 This should be monitored alongside build-minute-based pipeline cost and infrastructure usage.